摘要
在Net框架下产生的Web连续攻击信号通过发送大量攻击数据,导致降低用户的使用性能及降低网络服务质量。设计一种在Net架构下的Web连续攻击信号的特征进行分离,对Web连续攻击信号进行正常和异常数据分离。对不同频段进行频率变尺度压缩,实现对高频特征和低频特征的分段处理,提高对攻击信号的检测能力及准确抓取概率。
Produced under the framework of net web continuous at ack data by sending dingnaIs,Leadingto reduced the user performance and reduce the network quaIity of service.The design fratures of a net under the architecture of web continuous at ack signaI separation aIgorithm,for web continuous at ack signaI separation of normaI and abnormaI data.the dif erent Frequency of frequency variabIe scaIe compression, reaIize sectionaI treatment on the hign frequency characteristics andfrequency characteristics, improve the abiIity of detectingsignaI and accurate grasp probabiIity at ack.
基金
2014三亚市院地科技合作项目"无线传感器网络控制系统的Vague集模糊控制方法研究"(编号:YD23)
关键词
攻击
信号
检测
特征分离
attack
signal
detection
characteristics of the separation
